摘要
在信号处理中,传统的功率谱分析方法包含的信息量少,谱相关方法较前者具有更多优点。而一般的谱相关估计方法均基于周期图方法,分辨率低,估计方差大,需要的数据样本长。提出了一种基于AR模型,结合谱相关的方法进行信号的循环谱估计,克服了周期图方法的缺点。给出了算法的大致流程和建模思想。应用此方法在低信噪比条件下,进行直扩信号的循环谱分析,载波频率估计和码片时宽的估计。计算机仿真验证了此方法的有效性。
In signal processing field, the spectrum correlative technology has more advantages than the conventional power spectrum method, because the latter includes less information. However, the general spectrum correlative method is based on periodiogram whose spectrum is of lower resolution, large estimation variance and needs too many sampling data. A novel approach of spectrum correlative theory based on AR model is proposed to overcome the disadvantages of periodiogram. The algorithmic process and the idea of making model are proposed. Under the condition of low signal - to - noise ratio, this method can estimate some parameters for DS/SS signals such as carrier fiequency, chip width, etc. The validity is proved by computer simulation.
出处
《计算机仿真》
CSCD
北大核心
2009年第2期354-357,共4页
Computer Simulation
关键词
循环谱
模型
载频估计
码片时宽
Cyclic spectrum
Model
Carrier frequency estimation
Chip width
